26 citations · 31 across the 4 of their papers we have counts for
4 papers
Community Detection in Weighted Multilayer Networks with Ambient Noise
Mark He, Dylan Lu, Jason Xu +1
We introduce a novel model for multilayer weighted networks that accounts for global noise in addition to local signals. The model is similar to a multilayer stochastic blockmodel…
Finding Groups of Cross-Correlated Features in Bi-View Data
Miheer Dewaskar, John Palowitch, Mark He +2
Datasets in which measurements of two (or more) types are obtained from a common set of samples arise in many scientific applications. A common problem in the exploratory analysis…
Intertemporal Community Detection in Human Mobility Networks
Mark He, Joseph Glasser, Shankar Bhamidi +1
We introduce a community detection method that finds clusters in network time-series by introducing an algorithm that finds significantly interconnected nodes across time. These co…
Demarcating Geographic Regions using Community Detection in Commuting Networks with Significant Self-Loops
Mark He, Joseph Glasser, Nathaniel Pritchard +2
We develop a method to identify statistically significant communities in a weighted network with a high proportion of self-looping weights. We use this method to find overlapping a…